Call For Papers

Special Issue on Statistical Inference Methods

Inferential
statistics is the method of studying how to infer the characteristics of
unknown objects in the form of probability on the basis of describing the
sample data. A basic feature of statistical inference is that the conditions on
which it is based contain random observation data with randomness. The basic
problems of statistical inference can be divided into two categories: one is
the parameter estimation problem; the other is the hypothesis testing problem. Statistical
inference method has been widely used in modern statistics research.

In this special issue, we intend to invite front-line researchers
and authors to submit original researches and review articles on exploring statistical inference methods. Potential
topics include, but are not limited to:

Point
estimation

Interval
estimation

Statistical
model

Probability
statistics

Hypothesis
testing problem

Parameter
estimation problem

Properties of
a Random Sample

Authors
should read over the journal’s For Authors carefully before submission. Prospective
authors should submit an electronic copy of their complete manuscript through
the journal’s Paper Submission System.

Please
kindly notice that the “Special Issue” under your manuscript title is
supposed to be specified and the research field “Special Issue – Statistical Inference Methods”
should be chosen during your submission.